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Computer Vision Engineer

Arm Limited

Manchester

Hybrid

GBP 50,000 - 80,000

Full time

30+ days ago

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Job summary

A leading technology company in Manchester is seeking experienced ML Engineers to develop innovative neural graphics algorithms. You will collaborate with a team to enhance gaming technology, requiring strong skills in deep learning and programming languages like Python, as well as experience with frameworks such as TensorFlow and PyTorch. The role also offers opportunities for technical leadership and exposure at conferences.

Benefits

Strong team culture
Learning opportunities
Emphasis on diversity and inclusion

Qualifications

  • Strong experience working on high-performance deep learning models for image processing and computer graphics.
  • Excellent coding skills in python and strong experience in popular ML framework (e.g. TensorFlow or PyTorch).
  • Excellent problem solving and analytical thinking skills.
  • Excellent communication and collaboration skills.

Responsibilities

  • Inventing and implementing state of the art machine learning and graphics algorithms for gaming use cases.
  • Designing algorithms to work reliably on mobile devices.
  • Collaborating with other teams to ensure efficient pipeline utilization.

Skills

Deep learning models
Python
TensorFlow
PyTorch
Problem solving
Communication
Collaboration

Tools

C++
Shading languages
Job description

We are looking for experienced engineers with a hands-on machine learning background, and good understanding of graphics and gaming, to develop new neural graphics algorithms.

Job Overview:

In Arm's Central Technology group we are building trail-blazing future technology which will keep Arm-based products redefining the state-of-the-art. We are looking for experienced ML Engineers who will build a range of innovative algorithm solutions, aimed to guide architecture definition of the next-gen Arm compute platforms.

You will be working in a team of computer vision and machine learning engineers to prototype algorithms for graphics (gaming) that pushes the state of the art.

Responsibilities:
  • Inventing and implementing state of the art machine learning and graphics algorithms for gaming use cases
  • Designing such algorithms to work reliably and efficiently on mobile devices
  • Collaborating with other teams across software and hardware to ensure the full pipeline runs efficiently and utilises Arm hardware effectively
  • Presenting the algorithms and architectures you have developed to wider technology and engineering teams within Arm and at external events/conferences
Required Skills and Experience:
  • Strong experience working on high-performance deep learning models for image processing and computer graphics
  • Excellent coding skills in python and strong experience in popular ML framework (e.g. TensorFlow or PyTorch)
  • Excellent problem solving and analytical thinking skills
  • Excellent communication and collaboration skills
  • Passion for deep learning, graphics, and image processing
Nice To Have Skills and Experience:
  • Technical leadership experience
  • Understanding of the graphics rendering pipeline and familiarity with graphics on mobile GPUs
  • C++ experience and familiarity with Shading languages
  • Experience in 3D gaming, lighting and rendering is a plus
  • Image/video quality evaluation background
In Return:

On top of the already compelling life at Arm, we offer strong team culture, learning opportunities, regular career conversations, emphasis on diversity, equity and inclusion and a continuous improvement mentality.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues.

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